Multi-objective optimization algorithm innovates multipass cell design, boosting LITES sensor sensitivity
Chinese Society for Optical EngineeringPeer-Reviewed Publication
In addressing the challenges encountered during the design of multi-pass cell (MPC) with dense spot pattern, the research team from Harbin Institute of Technology (HIT) has, for the first time, integrated the parallel non-dominated sorting genetic algorithm II (PNSGA-II) with the mathematical model of MPCs. This innovation has enabled the development of a high-performance multi-pass cell that simultaneously achieves long optical path length and high ratio of optical path length to volume — two key performance metrics that are often mutually restrictive.
Furthermore, the team constructed a light-induced thermoelectric spectroscopy (LITES) sensing system by incorporating a self-designed, high-performance round-head quartz tuning fork (QTF). Leveraging this integrated system, they successfully realized ultra-high sensitivity trace gas detection, with a minimum detection limit (MDL) reaching the ppt (10-12) level.
- Journal
- PhotoniX
- Funder
- National Natural Science Foundation of China, Heilongjiang Postdoctoral Fund, Natural Science Foundation of Heilongjiang Province, China Postdoctoral Science Foundation, Open Subject of Hebei Key Laboratory of Advanced Laser Technology and Equipment